Clustering has been applied in the literature to solve various problems in deep learning and computer vision such as unsupervised image segmentation [1]} facial landmark detection [2]}, and image grouping [3]}, [4]}. However, no previous work has leveraged the fast inference time of trained neural network models to perform clustering. Developing deep learning models that can replace classical algorithms has been studied in the literature for various problems such as sorting [5]}, solving mixed integer problems [6]}, or even replacing index structures in data management systems [7]}. To the best of our knowledge, our work is the first to introduce an algorithm based on a supervised deep learning model to perform clustering of numerical datasets.
<FIGURE>